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Cited by 77Technology Adoption and User BehaviourHealth, Technology, Consumer BehaviorConsumer Behavior and Marketing Influence

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Analysis of the determinants of consumers’m-commerce usage activities

Chan, Felix T.S., Yee‐Loong Chong, Alain·2013·Online Information Review
DOI 10.1108/oir-01-2012-0012
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Abstract

Purpose The purpose of this paper is to examine the factors examining the determinants of users' mobile commerce (m‐commerce) usage activities. Design/methodology/approach Data were collected from 402 users in Malaysia, and structural equation modelling analysis was employed to test the research model. Findings The results showed that different demographic, motivation and security perceptions variables have different relationships with the types of m‐commerce usage activities. Practical implications The results from this study will be useful for m‐commerce companies in formulating appropriate marketing strategies, as well as developing appropriate applications that will attract more consumers. Originality/value Although past literatures have focused on technological aspects of m‐commerce, few studies have examined the applications and strategies of m‐commerce. Furthermore, most studies on m‐commerce adoptions have focused on the relationships between technology adoption factors and behavioural intentions of users. There are few studies which have investigated the actual m‐commerce usage activities of users.

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Crossref · 10.1108/oir-01-2012-0012

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3 of 3 references verified0 citation errors · 0 not checkable

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Research works printed but not linked: 35

  1. Benbasat, I. and Barki, H. (2007), “Quo vadis, TAM?”, Journal of the Association for Information Systems, Vol. 8 No. 4, pp. 211‐218. · DOI
  2. Cheng, T., Lam, D.Y.C. and Yeung, A.C.L. (2006), “Adoption of internet banking: an empirical study in Hong Kong”, Decision Support Systems, Vol. 42 No. 4, pp. 1558‐1572. · DOI
  3. Chinn, M.D. and Fairlie, R.W. (2006), “The determinants of the global digital divide: a cross‐country analysis of computer and internet penetration”, Oxford Economic Papers, Vol. 8 No. 2, pp. 16‐44. · DOI
  4. Chong, A.Y.L., Chan, F.T.S. and Ooi, K. (2011), “Predicting consumers decision to adopt mobile commerce: cross country empirical examination between China and Malaysia”, Decision Support Systems, Vol. 53 No. 1, pp. 34‐43, available at: http://dx.doi.org/10.1016/j.dss.2011.12.001 (accessed 13 March 2012). · DOI
  5. Chong, A.Y.L., Darmawan, N., Ooi, K.B. and Lin, B. (2010), “Adoption of 3G services among Malaysian consumers: an empirical analysis”, International Journal of Mobile Communications, Vol. 8 No. 2, pp. 129‐149. · DOI
  6. Cutler, S.J., Hendricks, J. and Guyer, A. (2003), “Age differences in home computer availability and use”, The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, Vol. 58 No. 5, pp. 271‐280. · DOI
  7. Dai, H. and Palvia, P. (2008), “Factors affecting mobile commerce adoption: a cross‐cultural study in China and the United States”, The Data Base for Advances in Information Systems, Vol. 40 No. 4, pp. 43‐61. · DOI
  8. Featherman, M.S., Miyazaki, A.D. and Sprott, D.E. (2010), “Reducing online privacy risk to facilitate e‐service adoption: the influence of perceived ease of use and corporate credibility”, Journal of Services Marketing, Vol. 24 No. 3, pp. 219‐229. · DOI
  9. Feng, H., Hoegler, T. and Stucky, W. (2006), “Exploring the critical success factors for mobile commerce”, Proceedings of the International Conference on Mobile Business, ICMB '06, IEEE Computer Society Press, Los Alamitos, CA, pp. 40‐46. · DOI
  10. Ha, I., Yoon, Y. and Choi, M. (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, Vol. 44 No. 3, pp. 276‐286. · DOI
  11. Hair, J., Black, W., Babin, B., Anderson, R. and Tatham, R. (2006), Multivariate Data Analysis, Prentice Hall, Upper Saddle River, NJ.
  12. Hernández, B., Jiménez, J. and Martín, M.J. (2011), “Age, gender and income: do they really moderate online shopping behaviour?”, Online Information Review, Vol. 35 No. 1, pp. 113‐133. · DOI
  13. Igbaria, M. and Chakrabarti, A. (1990), “Computer anxiety and attitudes towards microcomputer use”, Behaviour & Information Technology, Vol. 9 No. 3, pp. 229‐241. · DOI
  14. Liao, C.H., Tsou, C.W. and Huang, M.F. (2007), “Factors influencing the usage of 3G mobile services in Taiwan”, Online Information Review, Vol. 31 No. 6, pp. 759‐774. · DOI
  15. Liebermann, Y. and Stashevsky, S. (2002), “Perceived risks as barriers to internet and e‐commerce usage”, Qualitative Market Research: An International Journal, Vol. 5 No. 4, pp. 291‐300. · DOI
  16. Lin, J., Lu, Y., Wang, B. and Wu, S. (2011), “Initial trust and adoption of mobile brokerage service”, International Journal of Mobile Communications, Vol. 9 No. 2, pp. 124‐143. · DOI
  17. Lu, J., Yao, J.E. and Yu, C.S. (2005), “Personal innovativeness, social influences and adoption of wireless internet services via mobile technology”, The Journal of Strategic Information Systems, Vol. 14 No. 3, pp. 245‐268. · DOI
  18. Mahatanankoon, P., Wen, H.J. and Lim, B. (2005), “Consumer‐based m‐commerce: exploring consumer perception of mobile applications”, Computer Standards & Interfaces, Vol. 27 No. 4, pp. 347‐357. · DOI
  19. Ngai, E.W.T. and Gunasekaran, A. (2007), “A review for mobile commerce research and applications”, Decision Support Systems, Vol. 43 No. 1, pp. 3‐15. · DOI
  20. Nunnally, J. (1978), Psychometric Theory, McGraw‐Hill, New York, NY.
  21. Pagani, M. (2004), “Determinants of adoption of third generation mobile multimedia services”, Journal of Interactive Marketing, Vol. 18 No. 3, pp. 46‐59. · DOI
  22. Rhee, K.Y. and Kim, W.B. (2004), “The adoption and use of the internet in South Korea”, Journal of Computer‐Mediated Communication, Vol. 9 No. 4, available at: http://jcmc.indiana.edu/vol9/issue4/rhee.html (accessed 17 October 2012).
  23. Salo, K. and Karjaluoto, H. (2007), “A conceptual model of trust in the online environment”, Online Information Review, Vol. 31 No. 5, pp. 604‐621. · DOI
  24. Siau, K., Lim, E.P. and Shen, Z. (2001), “Mobile commerce: promises, challenges, and research agenda”, Journal of Database Management, Vol. 12 No. 3, pp. 4‐6. · DOI
  25. Teo, T.S.H. (2001), “Demographic and motivation variables associated with internet usage activities”, Internet Research, Vol. 11 No. 2, pp. 125‐137. · DOI · Paper page
  26. Teo, T.S.H. and Pok, S.H. (2003), “Adoption of WAP‐enabled mobile phones among internet users”, Omega, Vol. 31 No. 6, pp. 483‐498. · DOI
  27. Teo, T.S.H., Lim, V.K.G. and Lai, R.Y.C. (1999), “Intrinsic and extrinsic motivation in internet usage”, Omega, Vol. 27 No. 1, pp. 25‐37. · DOI
  28. Tiwari, R. and Buse, S. (2007), The Mobile Commerce Prospects: A Strategic Analysis of Opportunities in the Banking Sector, Hamburg University Press, Hamburg. · DOI
  29. To, P.L., Liao, C., Chiang, J.C., Shih, M.L. and Chang, C.Y. (2008), “An empirical investigation of the factors affecting the adoption of instant messaging in organizations”, Computer Standards & Interfaces, Vol. 30 No. 3, pp. 148‐156. · DOI
  30. Tsalgatidou, A. and Pitoura, E. (2001), “Business models and transactions in mobile electronic commerce: requirements and properties”, Journal of Computer Networks, Vol. 37 No. 2, pp. 221‐236. · DOI
  31. Venkatesh, V. and Davis, F.D. (2000), “A theoretical extension of the technology acceptance model: four longitudinal field studies”, Management Science, Vol. 46 No. 3, pp. 186‐204. · DOI · Paper page
  32. Yang, K.C.C. (2005), “Exploring factors affecting the adoption of mobile commerce in Singapore”, Telematics and Informatics, Vol. 22 No. 3, pp. 257‐277. · DOI · Paper page
  33. Yeh, Y.S. and Li, Y.M. (2009), “Building trust in m‐commerce: contributions from quality and satisfaction”, Online Information Review, Vol. 33 No. 6, pp. 1066‐1086. · DOI
  34. Zhou, T. (2011), “Examining the critical success factors of mobile website adoption”, Online Information Review, Vol. 35 No. 4, pp. 636‐652. · DOI
  35. Zhou, T., Lu, Y. and Wang, B. (2010), “Integrating TTF and UTAUT to explain mobile banking user adoption”, Computers in Human Behavior, Vol. 26 No. 4, pp. 760‐767. · DOI · Paper page

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Metadata

Authors
Chan, F. T. S., & Yee‐Loong Chong, A.
Affiliations
Hong Kong Polytechnic University (HK)
ORCID
Chan, Felix T.S.
Venue
Online Information Review
Publisher
Emerald
Published
2013-06-14
Volume
37
Issue
3
Pages
443-461
ISSN
1468-4527 (ISSN-L)
DOI
10.1108/oir-01-2012-0012
OpenAlex
W2018407935
Cited by
77
References
3
Citations by year
2025: 1 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 5 · 2019: 11 · 2018: 16 · 2017: 14 · 2016: 7 · 2015: 2 · 2014: 2
FWCI
8.05
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)
Locations
  • Online Information Review (publishedVersion)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
mobile commerce, consumer behavior, demographic factors, consumer motivation, perceived security, technology adoption, marketing strategy, Malaysia

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